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运行HM-16.5_Test_AI\bulid工程出现的问题 #14

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zhoushuairan opened this issue Aug 13, 2019 · 16 comments
Open

运行HM-16.5_Test_AI\bulid工程出现的问题 #14

zhoushuairan opened this issue Aug 13, 2019 · 16 comments

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@zhoushuairan
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zhoushuairan commented Aug 13, 2019 •
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您好，博主
看到您发表的论文之后，决定复现一下具体结果，但是在这过程中遇到一些问题，研究了好久也没弄明白究竟哪里出了错，具体的信息如下，我电脑使用相关软件和配置为vs2015 tensorflow1.10 python3.5我在运行HM-16.5_Test_AI\bulid时候 ，不能出现编码信息。具体运行情况如下：

`Tensor("Conv2D:0", shape=(?, 1, 1, 1), dtype=float32)
Tensor("ResizeNearestNeighbor:0", shape=(?, 16, 16, 1), dtype=float32)
Tensor("LeakyRelu:0", shape=(?, 4, 4, 16), dtype=float32)
Tensor("LeakyRelu_1:0", shape=(?, 2, 2, 24), dtype=float32)
Tensor("LeakyRelu_2:0", shape=(?, 1, 1, 32), dtype=float32)
Tensor("Conv2D_4:0", shape=(?, 2, 2, 1), dtype=float32)
Tensor("ResizeNearestNeighbor_1:0", shape=(?, 32, 32, 1), dtype=float32)
Tensor("LeakyRelu_3:0", shape=(?, 8, 8, 16), dtype=float32)
Tensor("LeakyRelu_4:0", shape=(?, 4, 4, 24), dtype=float32)
Tensor("LeakyRelu_5:0", shape=(?, 2, 2, 32), dtype=float32)
Tensor("Conv2D_8:0", shape=(?, 4, 4, 1), dtype=float32)
Tensor("ResizeNearestNeighbor_2:0", shape=(?, 64, 64, 1), dtype=float32)
Tensor("LeakyRelu_6:0", shape=(?, 16, 16, 16), dtype=float32)
Tensor("LeakyRelu_7:0", shape=(?, 8, 8, 24), dtype=float32)
Tensor("LeakyRelu_8:0", shape=(?, 4, 4, 32), dtype=float32)
Tensor("concat:0", shape=(?, 2688), dtype=float32)
Tensor("cond/Merge:0", shape=(?, 64), dtype=float32)
Tensor("cond_1/Merge:0", shape=(?, 48), dtype=float32)
Tensor("cond_2/Merge:0", shape=(?, 1), dtype=float32)
Tensor("cond_3/Merge:0", shape=(?, 128), dtype=float32)
Tensor("cond_4/Merge:0", shape=(?, 96), dtype=float32)
Tensor("cond_5/Merge:0", shape=(?, 4), dtype=float32)
Tensor("cond_7/Merge:0", shape=(?, 256), dtype=float32)
Tensor("cond_8/Merge:0", shape=(?, 192), dtype=float32)
Tensor("cond_9/Merge:0", shape=(?, 16), dtype=float32)

D:\HM\HM-16.5_Test_AI\bin\vc10\x64\Release\BasketballPass_416x240_50.yuv frame 501/501 416x240
Predicting Time : 7.986 sec.`

HM software: Encoder Version [16.5] (including RExt)[Windows][VS 1900][64 bit]

python video_to_cu_depth.py D:\HM\HM-16.5_Test_AI\bin\vc10\x64\Release\BasketballPass_416x240_50.yuv 416 240 32

Input File : D:\HM\HM-16.5_Test_AI\bin\vc10\x64\Release\BasketballPass_416x240_50.yuv
Bitstream File : str.bin
Reconstruction File : rec.yuv
Real Format : 416x240 50Hz
Internal Format : 416x240 50Hz
Sequence PSNR output : Linear average only
Sequence MSE output : Disabled
Frame MSE output : Disabled
Cabac-zero-word-padding : Enabled
Frame/Field : Frame based coding
Frame index : 0 - 99 (100 frames)
Profile : main
CU size / depth / total-depth : 64 / 4 / 4
RQT trans. size (min / max) : 4 / 32
Max RQT depth inter : 3
Max RQT depth intra : 3
Min PCM size : 8
Motion search range : 64
Intra period : 1
Decoding refresh type : 0
QP : 32.00
Max dQP signaling depth : 0
Cb QP Offset : 0
Cr QP Offset : 0
QP adaptation : 0 (range=0)
GOP size : 1
Input bit depth : (Y:8, C:8)
MSB-extended bit depth : (Y:8, C:8)
Internal bit depth : (Y:8, C:8)
PCM sample bit depth : (Y:8, C:8)
Intra reference smoothing : Enabled
diff_cu_chroma_qp_offset_depth : -1
extended_precision_processing_flag : Disabled
implicit_rdpcm_enabled_flag : Disabled
explicit_rdpcm_enabled_flag : Disabled
transform_skip_rotation_enabled_flag : Disabled
transform_skip_context_enabled_flag : Disabled
cross_component_prediction_enabled_flag: Disabled
high_precision_offsets_enabled_flag : Disabled
persistent_rice_adaptation_enabled_flag: Disabled
cabac_bypass_alignment_enabled_flag : Disabled
log2_sao_offset_scale_luma : 0
log2_sao_offset_scale_chroma : 0
Cost function: : Lossy coding (default)
RateControl : 0
Max Num Merge Candidates : 5

TOOL CFG: IBD:0 HAD:1 RDQ:1 RDQTS:1 RDpenalty:0 SQP:0 ASR:0 FEN:1 ECU:0 FDM:1 CFM:0 ESD:0 RQT:1 TransformSkip:1 TransformSkipFast:1 TransformSkipLog2MaxSize:2 Slice: M=0 SliceSegment: M=0 CIP:0 SAO:1 PCM:0 TransQuantBypassEnabled:0 WPP:0 WPB:0 PME:2 WaveFrontSynchro:0 WaveFrontSubstreams:1 ScalingList:0 TMVPMode:1 AQpS:0 SignBitHidingFlag:1 RecalQP:0

Non-environment-variable-controlled macros set as follows:

                        RExt__DECODER_DEBUG_BIT_STATISTICS =   0
                              RExt__HIGH_BIT_DEPTH_SUPPORT =   0
                    RExt__HIGH_PRECISION_FORWARD_TRANSFORM =   0
                                O0043_BEST_EFFORT_DECODING =   0

           Input ChromaFormatIDC =   4:2:0

Output (internal) ChromaFormatIDC = 4:2:0
请按任意键继续
`
于是我单独运行D:\HM\HM-16.5_Test_AI\bin下文件video_to_cu_depth.py文件 出现
Tensor("Conv2D:0", shape=(?, 1, 1, 1), dtype=float32)
Tensor("ResizeNearestNeighbor:0", shape=(?, 16, 16, 1), dtype=float32)
Tensor("LeakyRelu:0", shape=(?, 4, 4, 16), dtype=float32)
Tensor("LeakyRelu_1:0", shape=(?, 2, 2, 24), dtype=float32)
Tensor("LeakyRelu_2:0", shape=(?, 1, 1, 32), dtype=float32)
Tensor("Conv2D_4:0", shape=(?, 2, 2, 1), dtype=float32)
Tensor("ResizeNearestNeighbor_1:0", shape=(?, 32, 32, 1), dtype=float32)
Tensor("LeakyRelu_3:0", shape=(?, 8, 8, 16), dtype=float32)
Tensor("LeakyRelu_4:0", shape=(?, 4, 4, 24), dtype=float32)
Tensor("LeakyRelu_5:0", shape=(?, 2, 2, 32), dtype=float32)
Tensor("Conv2D_8:0", shape=(?, 4, 4, 1), dtype=float32)
Tensor("ResizeNearestNeighbor_2:0", shape=(?, 64, 64, 1), dtype=float32)
Tensor("LeakyRelu_6:0", shape=(?, 16, 16, 16), dtype=float32)
Tensor("LeakyRelu_7:0", shape=(?, 8, 8, 24), dtype=float32)
Tensor("LeakyRelu_8:0", shape=(?, 4, 4, 32), dtype=float32)
Tensor("concat:0", shape=(?, 2688), dtype=float32)
Tensor("cond/Merge:0", shape=(?, 64), dtype=float32)
Tensor("cond_1/Merge:0", shape=(?, 48), dtype=float32)
Tensor("cond_2/Merge:0", shape=(?, 1), dtype=float32)
Tensor("cond_3/Merge:0", shape=(?, 128), dtype=float32)
Tensor("cond_4/Merge:0", shape=(?, 96), dtype=float32)
Tensor("cond_5/Merge:0", shape=(?, 4), dtype=float32)
Tensor("cond_7/Merge:0", shape=(?, 256), dtype=float32)
Tensor("cond_8/Merge:0", shape=(?, 192), dtype=float32)
Tensor("cond_9/Merge:0", shape=(?, 16), dtype=float32)
File"video_to_cu_depth.py",line 120,in
assert len(sys.argv)==5
AssertionError
请问是为什么呢？？？如果你能回答 很感谢！
@m10507412
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上面tensor那些我猜應該是版本問題問你要不要更新吧!
assert len(sys.argv)==5
他要五個參數，不是五個就會錯誤

@zhoushuairan
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zhoushuairan commented Sep 20, 2019 via email

@m10507412
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m10507412 commented Sep 24, 2019 via email

@zhoushuairan
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zhoushuairan commented Oct 10, 2019 via email

@AlexSun0110
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嗯嗯 谢谢了 前一段时间 我已经把版本换了，并且成功运行了😄😄

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在2019年09月19日 18:10，m10507412 写道： 上面tensor那些我猜應該是版本問題問你要不要更新吧!
assert len(sys.argv)==5
他要五個參數，不是五個就會錯誤

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您好！我也出现了assert len(sys.argv)==5的问题，不知道是如何解决的？

@zhoushuairan
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嗯嗯谢谢了前一次我已经把版本换了，并且成功运行了😄😄

                        993649060



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签名是由网易邮件管理员定制的
在2019年09月19日18：10，m10507412缩小：上面tensor那些我猜应该是版本问题问你要不要更新吧！
assert len（sys.argv）== 5
他要五个参数，不是五个就会错误
—之所以收到此邮件，是因为您编写了该线程。直接回复此电子邮件，在GitHub上查看它，或使该线程静音。
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您好！我也出现了assert len（sys.argv）== 5的问题，不知道是如何解决的？

版本不对，重新配置环境，按照李大神的版本重新来过

@AlexSun0110
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AlexSun0110 commented Dec 1, 2019 via email

@zhoushuairan
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zhoushuairan commented Dec 1, 2019 via email

@KuGua98
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KuGua98 commented May 10, 2020

你好，我反复确认了环境配置的版本，tensorflow1.8 python3.5 CUDA9.0
还是报错：
assert len(sys.argv)==5
AssertionError

不知道应该如何解决？

@zhoushuairan
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zhoushuairan commented May 10, 2020 via email

@tianyili2017
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您好！看讨论中涉及到各种Python和Tensorflow版本，暂时不确定是否版本问题，因为之前的测试都是在一种配置下进行的（README.md提到），如有可能，最好用接近的配置运行，谢谢理解哈。
另外，还有一个可能的问题：运行的路径最好没有中文或空格，以免字符串识别错误，或者空格导致一个完整的字符串被识别成两个字符串，使得 assert len(sys.argv)==5 报错。

@zhoushuairan
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zhoushuairan commented Jan 4, 2021 via email

@huaxiazi
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你好，我承认了环境配置的版本，tensorflow1.8 python3.5 CUDA9.0 还是报错： assert len(sys.argv)==5 AssertionError

不知道应该如何解

你好，我承认了环境配置的版本，tensorflow1.8 python3.5 CUDA9.0 还是报错： assert len(sys.argv)==5 AssertionError

不知道应该如何解决？

你好，请问你的问题解决了吗

@zhoushuairan
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zhoushuairan commented Oct 31, 2021 via email

@huaxiazi
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huaxiazi commented Oct 31, 2021 via email

@zhoushuairan
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zhoushuairan commented Oct 31, 2021 via email

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6 participants
@tianyili2017 @KuGua98 @zhoushuairan @m10507412 @AlexSun0110 @huaxiazi